Kamel Gaanoun, PhD.

Work on Artificial Intelligence, Natural Language Processing and Data analysis

[Kamel Gaanoun, PhD. @KamelStats]

100 visitors to my 'Artificial intelligence-driven insights into Arab media’s sustainable development goals coverage' article published in #OpenAccess journal @PeerJCompSci https://t.co/T0XtQqADHz

[Kamel Gaanoun, PhD. @KamelStats]

@NainsiDwiv50980 LLM

[Nainsi Dwivedi @NainsiDwiv50980]

This is insane 😳
Most people are just using AI tools
Very few actually understand how they work

So I collected Stanford’s complete LLM curriculum
and turned it into a step-by-step learning path

Worth over $500
Giving it away free for the first 4,500 people

Transformers → Training → Alignment → Agents → Evaluation

Study this once and you’ll stop guessing with prompts
and start thinking like a real AI engineer

How to get it:
Follow must (so i can dm you)
Rt and comment 'LLM'

[Mayank Vora @aiwithmayank]

🚨 Prompt engineering is officially outdated.

Anthropic just released the real playbook for building AI agents that actually work.

It’s a 30+ page deep dive called The Complete Guide to Building Skills for Claude and it quietly shifts the conversation from “prompt engineering” to real execution design.

Here’s the big idea:

A Skill isn’t just a prompt.
It’s a structured system.

You package instructions inside a https://t.co/aldvvbZeVI file, optionally add scripts, references, and assets, and teach Claude a repeatable workflow once instead of re-explaining it every chat.

But the real unlock is something they call progressive disclosure.

Instead of dumping everything into context:

• A lightweight YAML frontmatter tells Claude when to use the skill
• Full instructions load only when relevant
• Extra files are accessed only if needed

Less context bloat. More precision.

They also introduce a powerful analogy:

MCP gives Claude the kitchen.
Skills give it the recipe.

Without skills: users connect tools and don’t know what to do next.
With skills: workflows trigger automatically, best practices are embedded, API calls become consistent.

They outline 3 major patterns:

1) Document & asset creation
2) Workflow automation
3) MCP enhancement

And they emphasize something most builders ignore: testing.

Trigger accuracy.
Tool call efficiency.
Failure rate.
Token usage.

This isn’t about clever wording.

It’s about designing an execution layer on top of LLMs.

Skills work across https://t.co/taoTr8bSkU, Claude Code, and the API. Build once, deploy everywhere.

The era of “just write a better prompt” is ending.

Anthropic just handed everyone a blueprint for turning chat into infrastructure.

Download the guide here: https://t.co/0SgDRAMhSg

[Kamel Gaanoun, PhD. @KamelStats]

@Suryanshti777 AI

[هند الخليفة @hend_alkhalifa]

#البحث_العلمي

موقع FormatMyPaper يقدم حلاً لتنسيق الأوراق العلمية وفق معايير النشر الأكاديمي.
يمكن للباحثين رفع أبحاثهم، ثم اختيار المجل�� المطلوبة، والحصول على تنسيق خلال دقائق معدودة.
أداة تعتمد على الذكاء الاصطناعي وتدعم ٢٢ قالب مجلة.
جرّبوها 📝
https://t.co/HUU03w8BAP

[Kamel Gaanoun, PhD. @KamelStats]

@haramainrailway لو تفضلتم متى عروض اليوم الوطني؟

[Sebastian Raschka @rasbt]

Updated & turned my Big LLM Architecture Comparison article into a narrated video lecture.

The 11 LLM architectures covered in this video:
1. DeepSeek V3/R1
2. OLMo 2
3. Gemma 3
4. Mistral Small 3.1
5. Llama 4
6. Qwen3
7. SmolLM3
8. Kimi 2
9. GPT-OSS
10. Grok 2.5
11. GLM-4.5

[Kamel Gaanoun, PhD. @KamelStats]

@haramainrailway السلام عليكم
اعتدنا على السفر مع عروض البوم الوطني.
مافي هاذي السنة؟

[Kamel Gaanoun, PhD. @KamelStats]

My article has been published today in @PeerJCompSci https://t.co/T0XtQqADHz #ArtificialIntelligence #ComputationalLinguistics #DataScience #NaturalLanguageandSpeech #TextMining

[هند الخليفة @hend_alkhalifa]

كان من المتوقع أن يحدث هذا - مؤتمر حيث #الذكاء_الاصطناعي هو المؤلف والذكاء الاصطناعي هو المراجع!🤖📝

https://t.co/FbK2NRCUty

[Kamel Gaanoun, PhD. @KamelStats]

@Madinah_Bus الله يحفظكم.
هذا طوال السنة ولا في رمضان فقط؟

[عمرو قلج Amr Keleg @Amrkeleg]

My position paper “LLM Alignment for the Arabs: A Homogenous Culture or Diverse Ones?” got accepted to the @c3_nlp workshop co-located with @naaclmeeting.

I share concerns about the missed opportunities with the rise of Arabic-specific LLMs.

📜https://t.co/18I801K1Ij
(1/4)

[Kamel Gaanoun, PhD. @KamelStats]

@KhalilMrini @Grammarly Wish you all the best Khalil.

[Kamel Gaanoun, PhD. @KamelStats]

@Saudi_Airlines شكرا لكم، لكن مع الأسف ليس هناك اي شيء يخص كاس العالم على التطبيق. ربما لا يظهر للاعضاء خارج السعودية.

[Kamel Gaanoun, PhD. @KamelStats]

https://t.co/Wp9M0ZCA2b

[Kamel Gaanoun, PhD. @KamelStats]

@Magikaaa @ylecun Exact and LLM regurgitate links' knowledge.

[Kamel Gaanoun, PhD. @KamelStats]

@Magikaaa @ylecun Same as:
Do you have as much knowledge as Google search?
Can you provide answers to almost anything?
LLM are just an enhanced search engine.